An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
Learning by analogical reasoning in general problem-solving
Learning by analogical reasoning in general problem-solving
Understanding precedents in a temporal context of evolving legal doctrine
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Detecting change in legal concepts
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A framework for the management of past experiences with time-extended situations
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Maintaining knowledge about temporal intervals
Communications of the ACM
An AI investigation of citation's epistemological role
Proceedings of the 8th international conference on Artificial intelligence and law
Information Retrieval
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Helping a CBR Program Know What It Knows
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Retrieving Cases in Structured Domains by Using Goal Dependencies
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Assessing Relevance with Extensionally Defined Principles and Cases
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Assessing the relevance of cases and principles using operationalization techniques
Assessing the relevance of cases and principles using operationalization techniques
Extensionally defining principles and cases in ethics: an AI model
Artificial Intelligence - Special issue on AI and law
An ontology of time for the semantic web
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Variants of temporal defeasible logics for modelling norm modifications
Proceedings of the 11th international conference on Artificial intelligence and law
Ontological requirements for analogical, teleological, and hypothetical legal reasoning
Proceedings of the 12th International Conference on Artificial Intelligence and Law
A framework for historical case-based reasoning
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Lexical Semantics and Expert Legal Knowledge towards the Identification of Legal Case Factors
Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
Temporal Dimensions in Rules Modelling
Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
Similarity, precedent and argument from analogy
Artificial Intelligence and Law
Case based representation and retrieval with time dependent features
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
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Given a renewed interest in the field of AI and Law in more complex factual representations of legal cases in terms of narratives, techniques for representing and reasoning about temporal orderings of facts will become increasingly important. The SIROCCO (System for Intelligent Retrieval of Operationalized Cases and COdes) program employed a representation for the temporal ordering of events in ethics cases in a way that informed determinations of whether and how ethical norms were violated and if the problem and other cases were normatively analogous at a deeper level. At the same time, the program supported ordinary case enterers in translating the facts of textually described cases into a machine-processable representation. This paper presents these previously unpublished aspects of the work including a report of an empirical evaluation of the contribution of the temporal representation to the program's success in retrieving relevant norms and cases. Although the results were negative, a consideration of the reasons why is illuminating. While SIROCCO dealt with engineering ethics cases, it is clear that similar temporal considerations apply in legal cases and that the approach is likely to be useful in legal narrative representations.